🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
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Updated
Apr 12, 2019 - Python
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
An implementation of MobileNetV3 with pyTorch
Implémentation du papier Colorization Transformer (ICLR 2021) - Version Expérimentale
Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
Image Classification Training Framework for Network Distillation
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Image classification on Tiny ImageNet
Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples
Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
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